This is an integrated project of a power glove. It contains the development of electronical and moving devices to interpret and transcript the hand movements of the Sign Language.
Hand come in all different shapes and sizes. Our purpose is designing a power glove able for everyone who need to communicate with. In that way, we can’t calculate an average of our hand size. Searching on the internet, we found the standard hand size of the humanity, taking to account all that ethnic group familiarized with small hands, etc.
Average: Male: 19.304 cm Female: 17.272 cm
Nevertheless, glove size is determined by measuring the length and circumference of your hand. The largest measure determines your glove size. As usual, the way to determine your glove size is with our length. The averages of each gender are quite different, but the medium size of them is in the domain of one of the standard glove dimensions, the size M
Structure: Why 3D printing?
The reasons why we’ve chosen 3D printing are the following ones:
• Easy Prototyping: Flexibility and quick prototyping. It enables easy product prototyping, which can lead to improved design.
• Cost reduction: Production can be done from home.
• Personalization: The possibility of making your own garments, objects, products ... in apersonalized and exclusive way.
• Sustainability: 3D printing can be used to reduce the life cycle and environmental impact of products. First of all, 3D printing processes use only the necessary material, as opposed to machining which produces a fair amount of waste.
• Functionality: With 3D printing, it’s possible to evaluate the functionality from the first unit produced, and we should not wait to have batches of thousands, and a series of test stages to verify it
Electronics:
• Motion capture: MPU-9250
The proposal of our device is to capture the movements of the hand and its fingers. To capture the movement and oscillation of the hand we need to control at least six degrees of freedom, three of the movement and three of rotation. For this reason, we have chosen the MPU-9250 module, which can capture up to nine degrees of freedom, with an accelerometer, a gyroscope and a compass
• Flex Sensor: SEN-08606
The flex sensors are the other part of the motion capture. They will read the fingers flexion in order to decode the position of each one separately. To achieve this, we have chosen longitudinal flex sensors with a 4.5’’ length, in order to capture the two degrees of freedom that have the finger phalanges. We omitted the last phalange when capturing the flexion. The chosen sensor is SEN-08606 from Sparkfun. The sensor has to be connected to an analogic pin of the microcontroller with a voltage divider structure with another resistance, in order to deliver an interpretable amount of voltage
• Microcontroller: Arduino Nano
The chosen microcontroller to operate the device is the ATmega328, with the Arduino Nano board (Rev3). This microcontroller has a flash memory of 32kb and a clock speed of 16MHz. This device is better than other ones because of its small and compact size, the eight analogic inputs and the breadboard pins encapsulated.
Components Research:
Hand come in all different shapes and sizes. Our purpose is designing a power glove able for everyone who need to communicate with. In that way, we can’t calculate an average of our hand size. Searching on the internet, we found the standard hand size of the humanity, taking to account all that ethnic group familiarized with small hands, etc. Average: Male: 19.304 cm Female: 17.272 cm Nevertheless, glove size is determined by measuring the length and circumference of your hand. The largest measure determines your glove size. As usual, the way to determine your glove size is with our length. The averages of each gender are quite different, but the medium size of them is in the domain of one of the standard glove dimensions, the size M
The reasons why we’ve chosen 3D printing are the following ones: • Easy Prototyping: Flexibility and quick prototyping. It enables easy product prototyping, which can lead to improved design. • Cost reduction: Production can be done from home. • Personalization: The possibility of making your own garments, objects, products ... in apersonalized and exclusive way. • Sustainability: 3D printing can be used to reduce the life cycle and environmental impact of products. First of all, 3D printing processes use only the necessary material, as opposed to machining which produces a fair amount of waste. • Functionality: With 3D printing, it’s possible to evaluate the functionality from the first unit produced, and we should not wait to have batches of thousands, and a series of test stages to verify it
• Motion capture: MPU-9250 The proposal of our device is to capture the movements of the hand and its fingers. To capture the movement and oscillation of the hand we need to control at least six degrees of freedom, three of the movement and three of rotation. For this reason, we have chosen the MPU-9250 module, which can capture up to nine degrees of freedom, with an accelerometer, a gyroscope and a compass
• Flex Sensor: SEN-08606 The flex sensors are the other part of the motion capture. They will read the fingers flexion in order to decode the position of each one separately. To achieve this, we have chosen longitudinal flex sensors with a 4.5’’ length, in order to capture the two degrees of freedom that have the finger phalanges. We omitted the last phalange when capturing the flexion. The chosen sensor is SEN-08606 from Sparkfun. The sensor has to be connected to an analogic pin of the microcontroller with a voltage divider structure with another resistance, in order to deliver an interpretable amount of voltage
• Microcontroller: Arduino Nano The chosen microcontroller to operate the device is the ATmega328, with the Arduino Nano board (Rev3). This microcontroller has a flash memory of 32kb and a clock speed of 16MHz. This device is better than other ones because of its small and compact size, the eight analogic inputs and the breadboard pins encapsulated.